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Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks

1 July 2021

Xavier Serra

Papers citing "Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks"

22 / 22 papers shown

Title
LEAF: A Learnable Frontend for Audio Classification Neil Zeghidour O. Teboul Félix de Chaumont Quitry Marco Tagliasacchi VLM AAML 108 147 0 21 Jan 2021
Truly shift-invariant convolutional neural networks Anadi Chaman Ivan Dokmanić 63 71 0 28 Nov 2020
An Effective Anti-Aliasing Approach for Residual Networks C. N. Vasconcelos Hugo Larochelle Vincent Dumoulin Nicolas Le Roux Ross Goroshin SupR 66 32 0 20 Nov 2020
Unsupervised Contrastive Learning of Sound Event Representations Eduardo Fonseca Diego Ortego Kevin McGuinness Noel E. O'Connor Xavier Serra SSL 68 65 0 15 Nov 2020
FSD50K: An Open Dataset of Human-Labeled Sound Events Eduardo Fonseca Xavier Favory Jordi Pons F. Font Xavier Serra 80 459 0 01 Oct 2020
Evaluation of CNN-based Automatic Music Tagging Models Minz Won Andrés Ferraro Dmitry Bogdanov Xavier Serra VLM 361 100 0 01 Jun 2020
End-to-End Auditory Object Recognition via Inception Nucleus M. K. Ebrahimpour Timothy M. Shea Andreea Danielescu D. Noelle Christopher T. Kello 33 8 0 25 May 2020
Addressing Missing Labels in Large-Scale Sound Event Recognition Using a Teacher-Student Framework With Loss Masking Eduardo Fonseca Shawn Hershey Manoj Plakal D. Ellis A. Jansen R. C. Moore Xavier Serra NoLa 90 23 0 02 May 2020
PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition Qiuqiang Kong Yin Cao Turab Iqbal Yuxuan Wang Wenwu Wang Mark D. Plumbley VLM SSL 189 1,076 0 21 Dec 2019
Model-agnostic Approaches to Handling Noisy Labels When Training Sound Event Classifiers Eduardo Fonseca F. Font Xavier Serra NoLa 69 9 0 26 Oct 2019
Making Convolutional Networks Shift-Invariant Again Richard Y. Zhang OOD 91 797 0 25 Apr 2019
Learning Sound Event Classifiers from Web Audio with Noisy Labels Eduardo Fonseca Manoj Plakal D. Ellis F. Font Xavier Favory Xavier Serra NoLa 62 111 0 04 Jan 2019
Why do deep convolutional networks generalize so poorly to small image transformations? Aharon Azulay Yair Weiss 73 560 0 30 May 2018
Exploring the Landscape of Spatial Robustness Logan Engstrom Brandon Tran Dimitris Tsipras Ludwig Schmidt Aleksander Madry AAML 75 363 0 07 Dec 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 280 9,764 0 25 Oct 2017
Harmonic Networks: Deep Translation and Rotation Equivariance Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel J. Brostow 126 710 0 14 Dec 2016
CNN Architectures for Large-Scale Audio Classification Shawn Hershey Sourish Chaudhuri D. Ellis J. Gemmeke A. Jansen ... Rif A. Saurous Bryan Seybold M. Slaney Ron J. Weiss K. Wilson 123 2,500 0 29 Sep 2016
Exploiting Cyclic Symmetry in Convolutional Neural Networks Sander Dieleman J. Fauw Koray Kavukcuoglu 115 364 0 08 Feb 2016
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,305 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,386 0 04 Sep 2014
L2 Regularization for Learning Kernels Corinna Cortes M. Mohri Afshin Rostamizadeh 85 445 0 09 May 2012